How to cite this paper
Babaei, A & Shahanaghi, K. (2017). Allocation and routing ambulances under uncertainty condition and risk for demands using the multi-stage hybrid robust model.Uncertain Supply Chain Management, 5(3), 273-296.
Refrences
Aly, A. A., & White, J. A. (1978). Probabilistic formulation of the emergency service location problem. Journal of the Operational Research Society, 29(12), 1167-1179.
Araghi, S.M.., Tavallaei, S., Ziaeian, P. (2011). Location analysis regarding disaster management bases via GIS, Case study: Tehran Municipality (No.6). Urban - Regional Studies and Research Journal, 3(10).
Bahadori, M., Nasiripur, A., Tofighi, S., & Gohari, M. (2010). Emergency Medical Services In Iran: An Overview. Australasian Medical Journal, 3(6).
Berlin, G. N., & Liebman, J. C. (1974). Mathematical analysis of emergency ambulance location. Socio-Economic Planning Sciences, 8(6), 323-328.
Balcik, B., & Beamon, B. M. (2008). Facility location in humanitarian relief. International Journal of Logistics, 11(2), 101-121.
Ball, M. O., & Lin, F. L. (1993). A reliability model applied to emergency service vehicle location. Operations research, 41(1), 18-36.
Campbell, A. M., Vandenbussche, D., & Hermann, W. (2008). Routing for relief efforts. Transportation Science, 42(2), 127-145.
Campos, V., Bandeira, R., & Bandeira, A. (2012). A method for evacuation route planning in disaster situations. Procedia-Social and Behavioral Sciences, 54, 503-512.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.
Cooper, W. W., Seiford, L. M., & Zhu, J. (2004). Data envelopment analysis. In Handbook on data envelopment analysis (pp. 1-39). Springer US.
Daskin, M. S. (1983). A maximum expected covering location model: formulation, properties and heuristic solution. Transportation Science, 17(1), 48-70.
Davis, L. B., Samanlioglu, F., Qu, X., & Root, S. (2013). Inventory planning and coordination in disaster relief efforts. International Journal of Production Economics, 141(2), 561-573.
Edrissi, A., Poorzahedy, H., Nassiri, H., & Nourinejad, M. (2013). A multi-agent optimization formulation of earthquake disaster prevention and management. European Journal of Operational Research, 229(1), 261-275.
Forrester, A. T. (1961). Photoelectric mixing as a spectroscopic tool. JOSA, 51(3), 253-256.
Hwang, C. R. (1988). Simulated annealing: theory and applications. Acta Applicandae Mathematicae, 12(1), 108-111.
Jotshi, A., Gong, Q., & Batta, R. (2009). Dispatching and routing of emergency vehicles in disaster mitigation using data fusion. Socio-Economic Planning Sciences, 43(1), 1-24.
Karasakal, O., & Karasakal, E. K. (2004). A maximal covering location model in the presence of partial coverage. Computers & Operations Research, 31(9), 1515-1526.
Liberatore, F., Ortuño, M. T., Tirado, G., Vitoriano, B., & Scaparra, M. P. (2014). A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics. Computers & Operations Research, 42, 3-13.
Matsutomi, T., & Ishii, H. (1992, March). An emergency service facility location problem with fuzzy objective and constraint. In Fuzzy Systems, 1992., IEEE International Conference on (pp. 315-322). IEEE.
Mavrotas, G., & Trifillis, P. (2006). Multicriteria decision analysis with minimum information: combining DEA with MAVT. Computers & operations research, 33(8), 2083-2098.
Mete, H. O., & Zabinsky, Z. B. (2007). Preparing for disasters: medical supply location and distribution. In Proceedings of the INFORMS conference, Seattle, WA.
Ogata, K. (2010). Modern Control Engineering. 5th ed., Prentice Hall.
Overstreet, R. E., Hall, D., Hanna, J. B., & Kelly Rainer Jr, R. (2011). Research in humanitarian logistics. Journal of Humanitarian Logistics and Supply Chain Management, 1(2), 114-131.
Özdamar, L., Ekinci, E., & Küçükyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of operations research, 129(1-4), 217-245.
Pirkul, H., & Schilling, D. A. (1988). The siting of emergency service facilities with workload capacities and backup service. Management Science, 34(7), 896-908.
Ratick, S., Meacham, B., & Aoyama, Y. (2008). Locating backup facilities to enhance supply chain disaster resilience. Growth and Change, 39(4), 642-666.
ReVelle, C. (1989). Review, extension and prediction in emergency service siting models. European Journal of Operational Research, 40(1), 58-69.
Rahmaniani, R., & Shafia, M. A. (2013). A study on maximum covering transportation network design with facility location under uncertainty. Journal of Industrial and Production Engineering, 30(2), 78-93.
Shen, Z. J. M., Pannala, J., Rai, R., & Tsoi, T. S. (2008). Modeling transportation networks during disruptions and emergency evacuations. University of California Transportation Center.
Swoveland, C., Uyeno, D., Vertinsky, I., & Vickson, R. (1973). Ambulance location: a probabilistic enumeration approach. Management Science, 20(4-part-ii), 686-698.
Tzeng, G. H., Cheng, H. J., & Huang, T. D. (2007). Multi-objective optimal planning for designing relief delivery systems. Transportation Research Part E: Logistics and Transportation Review, 43(6), 673-686.
Wang, L., Zhou, Z., & Wu, W. (2016). Game theory-based model for maximizing SSP utility in cognitive radio networks. Computer Communications, 86, 29-39.
Araghi, S.M.., Tavallaei, S., Ziaeian, P. (2011). Location analysis regarding disaster management bases via GIS, Case study: Tehran Municipality (No.6). Urban - Regional Studies and Research Journal, 3(10).
Bahadori, M., Nasiripur, A., Tofighi, S., & Gohari, M. (2010). Emergency Medical Services In Iran: An Overview. Australasian Medical Journal, 3(6).
Berlin, G. N., & Liebman, J. C. (1974). Mathematical analysis of emergency ambulance location. Socio-Economic Planning Sciences, 8(6), 323-328.
Balcik, B., & Beamon, B. M. (2008). Facility location in humanitarian relief. International Journal of Logistics, 11(2), 101-121.
Ball, M. O., & Lin, F. L. (1993). A reliability model applied to emergency service vehicle location. Operations research, 41(1), 18-36.
Campbell, A. M., Vandenbussche, D., & Hermann, W. (2008). Routing for relief efforts. Transportation Science, 42(2), 127-145.
Campos, V., Bandeira, R., & Bandeira, A. (2012). A method for evacuation route planning in disaster situations. Procedia-Social and Behavioral Sciences, 54, 503-512.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.
Cooper, W. W., Seiford, L. M., & Zhu, J. (2004). Data envelopment analysis. In Handbook on data envelopment analysis (pp. 1-39). Springer US.
Daskin, M. S. (1983). A maximum expected covering location model: formulation, properties and heuristic solution. Transportation Science, 17(1), 48-70.
Davis, L. B., Samanlioglu, F., Qu, X., & Root, S. (2013). Inventory planning and coordination in disaster relief efforts. International Journal of Production Economics, 141(2), 561-573.
Edrissi, A., Poorzahedy, H., Nassiri, H., & Nourinejad, M. (2013). A multi-agent optimization formulation of earthquake disaster prevention and management. European Journal of Operational Research, 229(1), 261-275.
Forrester, A. T. (1961). Photoelectric mixing as a spectroscopic tool. JOSA, 51(3), 253-256.
Hwang, C. R. (1988). Simulated annealing: theory and applications. Acta Applicandae Mathematicae, 12(1), 108-111.
Jotshi, A., Gong, Q., & Batta, R. (2009). Dispatching and routing of emergency vehicles in disaster mitigation using data fusion. Socio-Economic Planning Sciences, 43(1), 1-24.
Karasakal, O., & Karasakal, E. K. (2004). A maximal covering location model in the presence of partial coverage. Computers & Operations Research, 31(9), 1515-1526.
Liberatore, F., Ortuño, M. T., Tirado, G., Vitoriano, B., & Scaparra, M. P. (2014). A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics. Computers & Operations Research, 42, 3-13.
Matsutomi, T., & Ishii, H. (1992, March). An emergency service facility location problem with fuzzy objective and constraint. In Fuzzy Systems, 1992., IEEE International Conference on (pp. 315-322). IEEE.
Mavrotas, G., & Trifillis, P. (2006). Multicriteria decision analysis with minimum information: combining DEA with MAVT. Computers & operations research, 33(8), 2083-2098.
Mete, H. O., & Zabinsky, Z. B. (2007). Preparing for disasters: medical supply location and distribution. In Proceedings of the INFORMS conference, Seattle, WA.
Ogata, K. (2010). Modern Control Engineering. 5th ed., Prentice Hall.
Overstreet, R. E., Hall, D., Hanna, J. B., & Kelly Rainer Jr, R. (2011). Research in humanitarian logistics. Journal of Humanitarian Logistics and Supply Chain Management, 1(2), 114-131.
Özdamar, L., Ekinci, E., & Küçükyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of operations research, 129(1-4), 217-245.
Pirkul, H., & Schilling, D. A. (1988). The siting of emergency service facilities with workload capacities and backup service. Management Science, 34(7), 896-908.
Ratick, S., Meacham, B., & Aoyama, Y. (2008). Locating backup facilities to enhance supply chain disaster resilience. Growth and Change, 39(4), 642-666.
ReVelle, C. (1989). Review, extension and prediction in emergency service siting models. European Journal of Operational Research, 40(1), 58-69.
Rahmaniani, R., & Shafia, M. A. (2013). A study on maximum covering transportation network design with facility location under uncertainty. Journal of Industrial and Production Engineering, 30(2), 78-93.
Shen, Z. J. M., Pannala, J., Rai, R., & Tsoi, T. S. (2008). Modeling transportation networks during disruptions and emergency evacuations. University of California Transportation Center.
Swoveland, C., Uyeno, D., Vertinsky, I., & Vickson, R. (1973). Ambulance location: a probabilistic enumeration approach. Management Science, 20(4-part-ii), 686-698.
Tzeng, G. H., Cheng, H. J., & Huang, T. D. (2007). Multi-objective optimal planning for designing relief delivery systems. Transportation Research Part E: Logistics and Transportation Review, 43(6), 673-686.
Wang, L., Zhou, Z., & Wu, W. (2016). Game theory-based model for maximizing SSP utility in cognitive radio networks. Computer Communications, 86, 29-39.